In this valuable volume, Nobel Prize-winner Klein gathers together a group of authors who focus on forecasting models for a number of economies. The variety of the models and the structural differences among them are especially interesting. . . Readers interested in forecasting methodologies will find much of value in this volume. Highly recommended. I. Walter, Choice This important book, prepared under the direction of Nobel Laureate Lawrence R. Klein, shows how economic forecasts are made. It explains how modern developments in information technology have made it possible to forecast frequently at least monthly but also weekly or bi-weekly depending upon the perceived needs of potential forecast users and also on the availability of updated material. The book focuses on forecasts in a diverse range of economies including the United States, China, India, Russia, Germany, Japan, South Korea, and Turkey. At a time of great economic uncertainty, this book makes an important contribution by showing how new information technology can be used to prepare national economic forecasts.

This volume investigates the accuracy and dynamic performance of a high-frequency forecast model for the Japanese and United States economies based on the Current Quarter Model (CQM) or High Frequency Model (HFM) developed by the late Professor Emeritus Lawrence R. Klein. It also presents a survey of recent developments in high-frequency forecasts and gives an example application of the CQM model in forecasting Gross Regional Products (GRPs).

Global econometric models have a long history. From the early 1970s to the present, as modeling techniques have advanced, different modeling paradigms have emerged and been used to support national and international policy making. One purpose of this volume — based on a conference in recognition of the seminal impact of Nobel Prize winner in Economic Sciences Lawrence R Klein, whose pioneering work has spawned the field of international econometric modeling — is to survey these developments from today's perspective.A second objective of the volume is to shed light on the wide range of attempts to broaden the scope of modeling on an international scale. Beyond new developments in traditional areas of the trade and financial flows, the volume reviews new approaches to the modeling of linkages between macroeconomic activity and individual economic units, new research on the analysis of trends in income distribution and economic wellbeing on a global scale, and innovative ideas about modeling the interactions between economic development and the environment.With the expansion of elaborated economic linkages, this volume makes an important contribution to the evolving literature of global econometric models.

Financial, Macro and Micro Econometrics Using R, Volume 42, provides state-of-the-art information on important topics in econometrics, including multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity testing, causal analysis and forecasting, GMM models, asset bubbles and crises, corporate investments, classification, forecasting, nonstandard problems, cointegration, financial market jumps and co-jumps, among other topics.

This book offers the representative macroeconometric models and their applications for the Japanese economy in different development stages throughout the postwar years up to the present. It presents a summary of three types of macroeconometric models and analyses:As many Asian economies are going through the stages of development that Japan has experienced over the past few decades, this book will be extremely relevant to them and other developing countries as a reference for years to come.

This book gives a comprehensive description of macroeconometric modeling and its development over time. The first part depicts the history of macroeconometric model building, starting with Jan Tinbergen's and Lawrence R. Klein's contributions. It is unique in summarizing the development and specific structure of macroeconometric models built in North America, Europe, and various other parts of the world. The work thus offers an extensive source for researchers in the field. The second part of the book covers the systematic characteristics of macroeconometric models. It includes the household and enterprise sectors, disequilibria, financial flows, and money market sectors.

Economic Forecasting provides a comprehensive overview of macroeconomic forecasting. The focus is first on a wide range of theories as well as empirical methods: business cycle analysis, time series methods, macroeconomic models, medium and long-run projections, fiscal and financial forecasts, and sectoral forecasting.

Before future-oriented information can be used as a basis for decision making in economics or business administration, it must be understood on a methodological level. This book provides decision makers with a thorough understanding of the possibilities offered by various forecasting methods as well as their limitations. If managers rely on a forecast with a long-term perspective to guide them in making short-term decisions, planning deficiencies will likely result. Likewise, if managers use short-term forecasts to inform their long-term strategic vision, failure could easily ensue. Graf provides the tools necessary to sidestep the common pitfall of using the wrong forecasting technique for the wrong purpose. This is not a detailed examination of the mathematical and statistical tools of empirical economic research. Instead, forecasting methods are explained so that they can be understood by the managers who employ them in their decision making. Graf demonstrates that understanding and—in special cases—cooperation between forecast developers and users is crucial to creating an effective forecast that results in informed management decisions. He discusses traditional, long-term, macroeconomic, and global economic forecasting; the scenario technique as a central instrument of long-term forecasting; and short-term economic and market forecasting.

Widening the focus from the usual business forecasts, explains the techniques for predicting macroeconomic factors such as economic growth, interest rates, and employment. Reviews the concepts of business cycles and long waves, then describes techniques using economic indicators, time series, econometric models, and consensus. Also considers the evaluation of forecasts. Readers with a solid background in mathematics and statistics should learn now to make forecasts; others should get an intuitive understanding that will improve their interpretation of forecasts by others. Paper edition (unseen), $29.95. Annotation copyright by Book News, Inc., Portland, OR